E h. Interpret the slope of the regression line in the context of the question: 0 For every additional lover students have, their GPA tends to decrease by 0.22. O The slope has no practical meaning since a GPA cannot be negative. 0 As x goes up, y goes down. i. Interpret the yintercept in the context of the question: 0 If a student has never had a lover, then that student's GPAwill be 3.31. O The best prediction for the GPA of a student who has never had a lover is 3.31. O The average GPA for all students is predicted to be 3.31. O The y-intercept has no practical meaning for this study. . Question 4 1' Astudy was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAs. The results of the survey are shown below. Lovers 7 3 2 3" 5 D 7 6 GPA 1.13 3.1 2.6 2 1.8 3.4 1.9 1.8 a. Find the correlation coefficient: 1" = C] Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Hui #00 H1:- ?v The p- -value' Is: #0:] [Round to four decimal places] c. Use a level of significance of Ct = 0.05 to state the conclusion of the hypothesis test in the context of the study. Q There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. 0 There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. 0 There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. 0 There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. d. 7'2 = C] [Round to two decimal places} e. Interpret r? : O 8196 of all students will have the average GPA. Q There is a large variation in students' GPAs, but if you only look at students who have had a fixed number of lovers, this variation on average is reduced by 3196. Q There is a 81% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has had. 0 Given any group of students who have all had the same number of lovers, 8196 of all of these studetns will have the predicted GPA. The equation of the linear regression line' Is: =:]+ :lm {Please show your answers to two decimal places} g. Use the model to predict the GPA of a college student who as had 3 lovers. GPA = C] [Please round your answer to one decimal place.} 9:5)